Specifying indexes in regridded data

[jmdelvecchio]

Hi there, I have a netCDF file where the original dimensions were (X,Y) (polar coordinates) and I have successfully regridded the data to lat/long (much like in this example, which I followed). However, I would now like to sample the value of my data at certain points I have (which are in lat/long), but when I go to use .sel() to get data values based on lat/long I receive the error message KeyError: "no index found for coordinate 'lat'" The code I use is:

x_indexer = xr.DataArray(mypointdata.long, dims=["point"])
y_indexer = xr.DataArray(mypointdata.lat, dims=["point"])

sliced = regridded_data.sel(lon=x_indexer, lat=y_indexer, method="nearest")

Indeed checking reindexed_data.indexes returns empty indices, but I cannot .set_xindex('lon') because I get the error message PandasIndex only accepts a 1-dimensional variable, variable 'lon' has 2 dimensions

I believe I need to create/define indexes for the regridded DataArray, but I am unsure how to do that. Any advice is appreciated!